Jan Grabowski

34 total papers · 764 total citations
13 papers, 530 citations indexed

About

Jan Grabowski is a scholar working on Immunology, Hepatology and Epidemiology. According to data from OpenAlex, Jan Grabowski has authored 13 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 8 papers in Hepatology and 5 papers in Epidemiology. Recurrent topics in Jan Grabowski's work include Hepatitis C virus research (6 papers), Immune Cell Function and Interaction (4 papers) and Hepatitis Viruses Studies and Epidemiology (4 papers). Jan Grabowski is often cited by papers focused on Hepatitis C virus research (6 papers), Immune Cell Function and Interaction (4 papers) and Hepatitis Viruses Studies and Epidemiology (4 papers). Jan Grabowski collaborates with scholars based in Germany, United States and Poland. Jan Grabowski's co-authors include Heiner Wedemeyer, Markus Cornberg, Verena Schlaphoff, Michael P. Manns, Birgit Bremer, Jerzy Jaroszewicz, Pothakamuri Venkata Suneetha, Sebastian Lunemann, Antoaneta A. Markova and Sven Pischke and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Hepatology and Journal of Virology.

In The Last Decade

Jan Grabowski

11 papers receiving 523 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jan Grabowski 382 270 199 106 37 13 530
Paraskevi Fytili 307 0.8× 162 0.6× 175 0.9× 120 1.1× 17 0.5× 15 456
Vu Q. Binh 210 0.5× 263 1.0× 78 0.4× 120 1.1× 44 1.2× 17 515
Peter Karacki 311 0.8× 334 1.2× 240 1.2× 44 0.4× 26 0.7× 8 563
Christopher Marshall 339 0.9× 340 1.3× 261 1.3× 66 0.6× 25 0.7× 9 600
Megan E. Laycock 224 0.6× 411 1.5× 110 0.6× 123 1.2× 31 0.8× 14 611
Jasneet Aneja 336 0.9× 294 1.1× 243 1.2× 61 0.6× 49 1.3× 10 508
Arianna Alfieri 437 1.1× 521 1.9× 195 1.0× 68 0.6× 20 0.5× 8 583
A. de Niet 368 1.0× 377 1.4× 127 0.6× 60 0.6× 30 0.8× 20 530
Guido Massaccesi 264 0.7× 178 0.7× 122 0.6× 123 1.2× 19 0.5× 17 499
Anita Schuch 203 0.5× 254 0.9× 267 1.3× 79 0.7× 79 2.1× 10 478

Countries citing papers authored by Jan Grabowski

Since Specialization
Citations

This map shows the geographic impact of Jan Grabowski's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jan Grabowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Grabowski more than expected).

Fields of papers citing papers by Jan Grabowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan Grabowski. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jan Grabowski. The network helps show where Jan Grabowski may publish in the future.

Co-authorship network of co-authors of Jan Grabowski

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Grabowski. A scholar is included among the top collaborators of Jan Grabowski based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jan Grabowski. Jan Grabowski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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